Study of Floods Using Social Media in Context of India

Authors

  • Mr. Anant Kumar  Research Scholar, P. G. Department of Computer Science, Veer Kunwar Singh University, Ara, Bihar, India
  • Prof. (Dr.) Awadhesh Prasad  Professor, P. G. Department of Physics, Veer Kunwar Singh University, Ara, Bihar, India
  • Dr. Shailesh Shrivastava  Deputy Director General and State Informatics Officer, National Informatics Centre, West Bengal, India

DOI:

https://doi.org/10.32628/IJSRSET24118036

Keywords:

Flood Management, Real-Time Data, Social Media Analysis, Disaster Management, Hydrological Models

Abstract

Floods, among the most devastating natural disasters, cause significant loss of life, property, and economic stability worldwide. Traditional flood management approaches, including hydrological models and satellite imaging, provide critical insights but often lack the real-time responsiveness and granular detail needed for effective disaster management. Social media, as a ubiquitous platform for communication, offers a novel avenue for collecting and analyzing real-time data during floods. This study explores the potential of leveraging social media data for flood analysis, focusing on its applications, methodologies, and associated challenges.

References

  1. Bruns, A., & Burgess, J. E. (2012). Researching news discussion on Twitter.
  2. Malik, F., et al. (2020). Real-time flood mapping using social media data.
  3. Imran, M., et al. (2015). Social media in disaster response: A systematic literature review.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2024-12-25

Issue

Volume 11, Issue 8, May-June-2024

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Mr. Anant Kumar, Prof. (Dr.) Awadhesh Prasad, Dr. Shailesh Shrivastava "Study of Floods Using Social Media in Context of India " International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 11, Issue 8, pp.256-259, May-June-2024. Available at doi : https://doi.org/10.32628/IJSRSET24118036